Modeling the impact of Women's Specific Health Factors in PD outcomes in Latinas

模拟女性特定健康因素对拉丁裔 PD 结局的影响

基本信息

批准号：
10558903
负责人：
Ignacio Fernandez Mata
金额：
$ 21.56万
依托单位：
CLEVELAND CLINIC LERNER COM-CWRU
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-08-01 至 2023-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10558903
关键词：
Address Advocate Affect Age Age of Onset Americas Anxiety Asian Biological Aging Black race Caribbean region Caring Clinic Clinical Communities Complex Data Databases Development Diagnosis Disease Outcome Disease model Ethnic Origin European Foundations Foxes Funding Gender Generations Genetic Genetic study Genotype Goals Health Healthcare Heterogeneity Hormonal Hormone replacement therapy Immunologics Latin American Latina Population Latino Latino Population Life Machine Learning Menopause Menstruation Mental Depression Modeling National Institute of Neurological Disorders and Stroke Neurodegenerative Disorders Neurologic Not Hispanic or Latino Parkinson Disease Participant Patient-Centered Care Persons Play Population Postmenopause Pregnancy Premenopause Prevalence Publications Questionnaires Reporting Research Risk Role Severities Severity of illness Sex Differences Site Specialist Susceptibility Gene Symptoms Testing Time Tremor Underrepresented Populations Woman Women&apos s Health Women&apos s Role age related neurodegeneration base causal variant clinical care clinical decision-making cohort combat disease diagnosis disorder risk experience genomic locus health related quality of life high risk men motor symptom neglect non-motor symptom novel predictive modeling recruit sex stem treatment planning

项目摘要

Abstract: Parkinson’s disease (PD) is a prevalent age-related neurodegenerative disorder worldwide. Men are ~2 times more likely to develop PD compared to women. PD is starkly different between men and women; from age of onset, symptoms, and severity. While there have been some studies identifying women-specific health factors (hormonal and immunological changes due to experiences like menses, pregnancies, and menopause), these factors are often ignored in predictive models and treatment plans. Studies have reported that women experience higher rates of delayed or incorrect PD diagnosis, are less likely to receive therapy or see a specialist once diagnosed, and have a lower health-related quality of life than men. Despite the stark differences seen in the risk and severity of PD between men and women, there is no universally accepted reason(s) behind it, leaving women, especially Latinas, poorly understood in PD. To combat this great overlook for Latinas and women’s health, we will deploy our women’s questionnaire to 1,208 Latinas being recruited all across the Americas and the Caribbean through LARGE-PD, PD GENEration, and The Cleveland Clinic. We will use novel machine learning approaches to generate a first-of-its-kind predictive model for PD severity (determined by the PD clinical score and symptoms profile) that includes the women-specific health factors alongside clinical, demographic, and genetic factors. Our goal is to create PD predictive models that are specific to women and moreover, Latinas, shifting the paradigm to emphasize the importance of sex, culture, and ethnicity in PD. In addition, this project will influence PD research to incorporate sex-specific experiences alongside genetics and other factors. By identifying novel associations between women-specific health factors, genetics, and PD severity, this study has the potential to reduce inequities in healthcare for Latinas – not just for PD but also perhaps for other neurological conditions.

抽象的：帕金森病 (PD) 是一种全球范围内普遍存在的与年龄相关的神经退行性疾病，男性发病率约为男性的 2 倍。与女性相比，男性和女性更容易患帕金森病；虽然有一些研究确定了女性特有的健康因素。（由于月经、怀孕和更年期等经历而引起的荷尔蒙和免疫变化），这些研究报告称，预测模型和治疗计划中的因素经常被忽视。 PD 诊断延迟或不正确的比例较高，接受治疗或接受治疗的可能性较小尽管情况很明显，但专家一旦确诊，其健康相关生活质量仍低于男性。男性和女性之间 PD 的风险和严重程度存在差异，目前尚无普遍接受的标准其背后的原因，使得女性，尤其是拉丁裔女性，在PD中对这一重大忽视现象知之甚少。为了拉丁裔和女性健康，我们将向所有招募的 1,208 名拉丁裔展开女性调查问卷通过 LARGE-PD、PD GENEration 和 The Cleveland Clinic 遍布美洲和加勒比地区。将使用新颖的机器学习方法来生成首个 PD 严重程度预测模型（由 PD 临床评分和症状概况决定），包括女性特有的健康因素我们的目标是与临床、人口统计和遗传因素一起创建 PD 预测模型。针对女性以及拉丁裔，转变范式以强调性、文化、此外，该项目还将影响帕金森病研究，将特定性别的经历纳入其中。通过识别女性特定健康因素之间的新关联，遗传学和 PD 严重程度，这项研究有可能减少拉丁裔医疗保健方面的不平等——而不仅仅是用于PD，也可能用于其他神经系统疾病。